Information transfer: the biomedical model

MeSH-based Biomedical Information Semantic Retrieval Model

The subject headings is an approach that improves information search accuracy and comprehensiveness to approach multi-language search and intellectualized concept retrieval. Using this method in network information retrieval tool will improve the efficiency of information retrieval. This paper proposes an idea of calculating the similarity based on the relationship among the words in the subjec...

Biomedical Information Retrieval

Retrieving relevant information from biomedical text data is a new challenging area of research. Thousands of articles are being added into biomedical literature each year and this large collection of publications offer an excellent opportunity for discovering hidden biomedical knowledge by applying information retrieval (IR) and Natural Language Processing (NLP) technologies. Biomedical Text p...

Mining the Biomedical Literature for Genic Information

eGIFT (Extracting Gene Information From Text) is an intelligent system which is intended to aid scientists in surveying literature relevant to genes of interest. From a gene specific set of abstracts retrieved from PubMed, eGIFT determines the most important terms associated with the given gene. Annotators using eGIFT can quickly find articles describing gene functions and individuals scientist...

The Development of Specialized Biomedical Information

Supporting BioMedical Information Retrieval: The BioTracer Approach

The large amount and diversity of available biomedical information has put a high demand on existing search systems. Such a tool should be able to not only retrieve the sought information, but also filter out irrelevant documents, while giving the relevant ones the highest ranking. Focusing on biomedical information, this work investigates how to improve the ability for a system to find and ran...